Descrizione del progetto
Un’iniziativa per sfruttare l’incertezza dell’IA nella regione della Grande Parigi
Nel panorama in rapida evoluzione dell’IA, la sfida di valutare l’affidabilità delle decisioni incombe, influenzando campi che spaziano dalle simulazioni numeriche alle reazioni dei sistemi reali. Le incertezze nei dati di input e nei risultati dei modelli creano un’urgente necessità di fiducia nelle applicazioni di IA. Con il sostegno del programma di azioni Marie Skłodowska-Curie, il progetto DeMythif.AI intende gestire le incertezze, garantire la spiegabilità e promuovere la frugalità. Il progetto apre la strada a un approccio trasformativo all’IA, e fornisce a 30 borsisti di dottorato della Grande Parigi la possibilità di affrontare e superare gli ostacoli intrinseci all’avanzamento della tecnologia. La forza del progetto risiede negli approcci diversi e interdisciplinari, nella promozione di collaborazioni di ricerca dinamiche e nella promessa di un futuro in cui le applicazioni dell’IA ispirino fiducia e comprensione.
Obiettivo
Artificial intelligence is a pervasive and ubiquitous technology, with fast developments and ever-growing applicative horizons. While achieving outstanding results, estimating the decisions’ reliability is a critical and open problem with strategic outcomes: from estimating uncertainty in numerical simulations to harnessing system reactions in open environments. Uncertainties both in input data and model output should be handled to increase the confidence in AI applications : physics-based models, edge computing, data frugal approaches, interactions with humans, with many applications in energy, climate change adaptation, bioinformatics, engineering, fundamental and material science,… DeMythif.IA is an international doctoral training and career development program driven by UPSaclay, and its 19 research and industrial partners supported by thematic networks to enhance the scientific excellence and career development of 30 PhD fellows in Greater Paris area. The program focuses on 3 interdisciplinary scientific axes 1) handling uncertainties on data and model and quantifying uncertainties on the predictions, 2) managing explainability, so that the trained model outcome can be trusted and explained to a human, and 3) encouraging frugality, both in term of labelled data and energy for training, so that real-life applications (as opposed to proofs-of-concept) emerge. The fellows will benefit from world-class scientific programs, quality supervision and industrial secondments and also from personalized career development activities and transferable skills training (interpersonal, communication, digital, entrepreneurship, open science, gender, ethics). DeMythif.AI’s strength lies in its diversity permitting to fine-tune the content offered to the fellows from a professional perspective. It ultimately allows concretizing dynamic research collaborations and developing strong synergies around the academic and industrial community, opening new perspectives beyond the project.
Campo scientifico
Parole chiave
Programma(i)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Argomento(i)
Meccanismo di finanziamento
HORIZON-TMA-MSCA-Cofund-D - HORIZON TMA MSCA Cofund Doctoral programmeCoordinatore
91190 Gif-Sur-Yvette
Francia